Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
À partir des données des recensements canadiens de 1991 et de 1996, nous nous penchons sur la question des immigrants pauvres et à faible revenu, un sujet très peu traité dans les travaux de recherche précédents sur l'immigration. Comparativement aux Canadiens de souche, les immigrants sont constamment surreprésentés dans la classe des pauvres. Cette surreprésentation comporte une orientation ethnique et raciale claire: les immigrants appartenant aux minorités visibles vivant les pires conditions. Les modèles de régression logis‐tique révèlent que, dans leur cas, les chances d'être pauvres sont con‐sidérablement plus élevées même en tenant compte de toutes les autres variables pertinentes. Les taux de pauvreté des différentes générations d'immigrants ne suivent pas un modèle logique; ceux qui ont émigréà l'adolescence vivent dans des conditions anormales de pauvreté extrême. La comparaison entre la situation des immigrants en 1991 et en 1996 révèle que l'investissement en matière de capital humain favorise de moins en moins les immigrants. Using the 1991 and 1996 Canadian census data, the present study addresses the issue of poor or low‐income immigrants, a topic largely overlooked in previous immigration research. The authors found that, compared to native‐born Canadians, immigrants were consistently over‐represented among the poor, and that this over‐representation had a clear ethnic and racial colour, with visible minority immigrants experiencing the most severe conditions. For them, the logistic regression models show, the odds of poverty are noticeably higher, even after controlling for all other relevant variables. The poverty rates of different generations of immigrants also show an unexpected pattern, in which those who have migrated during their adolescent years experience unusually severe poverty conditions. A comparison of the situation in 1991 and 1996 shows that human capital endowments are becoming less rewarding for immigrants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it